Credit Score Profiling Report

Dataset statistics

Number of variables	25
Number of observations	10000
Missing cells	10812
Missing cells (%)	4.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.3 MiB
Average record size in memory	655.5 B

Variable types

Categorical	9
Numeric	16

Alerts

`Customer_ID` has a high cardinality: 7126 distinct values	High cardinality
`Type_of_Loan` has a high cardinality: 3890 distinct values	High cardinality
`Credit_History_Age` has a high cardinality: 402 distinct values	High cardinality
`Annual_Income` is highly overall correlated with `Monthly_Inhand_Salary` and 2 other fields	High correlation
`Monthly_Inhand_Salary` is highly overall correlated with `Annual_Income` and 2 other fields	High correlation
`Num_Bank_Accounts` is highly overall correlated with `Interest_Rate` and 3 other fields	High correlation
`Interest_Rate` is highly overall correlated with `Num_Bank_Accounts` and 4 other fields	High correlation
`Num_of_Loan` is highly overall correlated with `Outstanding_Debt`	High correlation
`Delay_from_due_date` is highly overall correlated with `Num_Bank_Accounts` and 6 other fields	High correlation
`Num_of_Delayed_Payment` is highly overall correlated with `Num_Bank_Accounts` and 2 other fields	High correlation
`Changed_Credit_Limit` is highly overall correlated with `Payment_of_Min_Amount`	High correlation
`Num_Credit_Inquiries` is highly overall correlated with `Num_Bank_Accounts` and 3 other fields	High correlation
`Outstanding_Debt` is highly overall correlated with `Interest_Rate` and 5 other fields	High correlation
`Amount_invested_monthly` is highly overall correlated with `Annual_Income` and 1 other fields	High correlation
`Monthly_Balance` is highly overall correlated with `Annual_Income` and 1 other fields	High correlation
`Credit_Mix` is highly overall correlated with `Delay_from_due_date` and 2 other fields	High correlation
`Payment_of_Min_Amount` is highly overall correlated with `Delay_from_due_date` and 3 other fields	High correlation
`Age` has 463 (4.6%) missing values	Missing
`Annual_Income` has 727 (7.3%) missing values	Missing
`Monthly_Inhand_Salary` has 1507 (15.1%) missing values	Missing
`Num_of_Loan` has 463 (4.6%) missing values	Missing
`Type_of_Loan` has 1060 (10.6%) missing values	Missing
`Num_of_Delayed_Payment` has 1012 (10.1%) missing values	Missing
`Changed_Credit_Limit` has 243 (2.4%) missing values	Missing
`Num_Credit_Inquiries` has 178 (1.8%) missing values	Missing
`Credit_Mix` has 2005 (20.1%) missing values	Missing
`Outstanding_Debt` has 105 (1.1%) missing values	Missing
`Credit_History_Age` has 886 (8.9%) missing values	Missing
`Payment_of_Min_Amount` has 1176 (11.8%) missing values	Missing
`Amount_invested_monthly` has 868 (8.7%) missing values	Missing
`Monthly_Balance` has 119 (1.2%) missing values	Missing
`Customer_ID` is uniformly distributed	Uniform
`Credit_Utilization_Ratio` has unique values	Unique
`Num_Bank_Accounts` has 409 (4.1%) zeros	Zeros
`Num_of_Loan` has 962 (9.6%) zeros	Zeros
`Num_of_Delayed_Payment` has 142 (1.4%) zeros	Zeros
`Num_Credit_Inquiries` has 699 (7.0%) zeros	Zeros
`Total_EMI_per_month` has 982 (9.8%) zeros	Zeros

Reproduction

Analysis started	2023-03-14 15:15:02.966465
Analysis finished	2023-03-14 15:15:46.650326
Duration	43.68 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Customer_ID
Categorical

HIGH CARDINALITY UNIFORM

Distinct	7126
Distinct (%)	71.3%
Missing	0
Missing (%)	0.0%
Memory size	731.9 KiB

CUS_0x8b31	5
CUS_0xaec2	5
CUS_0x53eb	5
CUS_0x54bd	4
CUS_0x65aa	4
Other values (7121)	9977

Length

Max length	10
Median length	10
Mean length	9.942
Min length	9

Characters and Unicode

Total characters	99420
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4802 ?
Unique (%)	48.0%

Sample

1st row	CUS_0x65fa
2nd row	CUS_0x8927
3rd row	CUS_0xbe6f
4th row	CUS_0x3de6
5th row	CUS_0x64aa

Common Values

Value	Count	Frequency (%)
CUS_0x8b31	5	0.1%
CUS_0xaec2	5	0.1%
CUS_0x53eb	5	0.1%
CUS_0x54bd	4	< 0.1%
CUS_0x65aa	4	< 0.1%
CUS_0x9a55	4	< 0.1%
CUS_0x5ed7	4	< 0.1%
CUS_0x35c6	4	< 0.1%
CUS_0xbda9	4	< 0.1%
CUS_0x946d	4	< 0.1%
Other values (7116)	9957	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cus_0x8b31	5	< 0.1%
cus_0x53eb	5	< 0.1%
cus_0xaec2	5	< 0.1%
cus_0x54bd	4	< 0.1%
cus_0x748e	4	< 0.1%
cus_0x8d9	4	< 0.1%
cus_0x5a59	4	< 0.1%
cus_0x1fd1	4	< 0.1%
cus_0x2771	4	< 0.1%
cus_0xc203	4	< 0.1%
Other values (7116)	9957	99.6%

Most occurring characters

Value	Count	Frequency (%)
0	11895	12.0%
C	10000	10.1%
S	10000	10.1%
_	10000	10.1%
x	10000	10.1%
U	10000	10.1%
4	2820	2.8%
5	2771	2.8%
6	2728	2.7%
3	2725	2.7%
Other values (11)	26481	26.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36084	36.3%
Uppercase Letter	30000	30.2%
Lowercase Letter	23336	23.5%
Connector Punctuation	10000	10.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11895	33.0%
4	2820	7.8%
5	2771	7.7%
6	2728	7.6%
3	2725	7.6%
9	2674	7.4%
8	2644	7.3%
7	2618	7.3%
1	2615	7.2%
2	2594	7.2%

Lowercase Letter

Value	Count	Frequency (%)
x	10000	42.9%
b	2706	11.6%
a	2671	11.4%
c	2311	9.9%
d	1931	8.3%
e	1896	8.1%
f	1821	7.8%

Uppercase Letter

Value	Count	Frequency (%)
C	10000	33.3%
S	10000	33.3%
U	10000	33.3%

Connector Punctuation

Value	Count	Frequency (%)
_	10000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	53336	53.6%
Common	46084	46.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11895	25.8%
_	10000	21.7%
4	2820	6.1%
5	2771	6.0%
6	2728	5.9%
3	2725	5.9%
9	2674	5.8%
8	2644	5.7%
7	2618	5.7%
1	2615	5.7%

Latin

Value	Count	Frequency (%)
C	10000	18.7%
S	10000	18.7%
x	10000	18.7%
U	10000	18.7%
b	2706	5.1%
a	2671	5.0%
c	2311	4.3%
d	1931	3.6%
e	1896	3.6%
f	1821	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	99420	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11895	12.0%
C	10000	10.1%
S	10000	10.1%
_	10000	10.1%
x	10000	10.1%
U	10000	10.1%
4	2820	2.8%
5	2771	2.8%
6	2728	2.7%
3	2725	2.7%
Other values (11)	26481	26.6%

Month
Categorical

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	686.0 KiB

August	1282
January	1267
March	1262
July	1259
June	1251
Other values (3)	3679

Length

Max length	8
Median length	6
Mean length	5.249
Min length	3

Characters and Unicode

Total characters	52490
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	March
2nd row	February
3rd row	April
4th row	January
5th row	April

Common Values

Value	Count	Frequency (%)
August	1282	12.8%
January	1267	12.7%
March	1262	12.6%
July	1259	12.6%
June	1251	12.5%
May	1244	12.4%
February	1224	12.2%
April	1211	12.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
august	1282	12.8%
january	1267	12.7%
march	1262	12.6%
july	1259	12.6%
june	1251	12.5%
may	1244	12.4%
february	1224	12.2%
april	1211	12.1%

Most occurring characters

Value	Count	Frequency (%)
u	7565	14.4%
a	6264	11.9%
r	6188	11.8%
y	4994	9.5%
J	3777	7.2%
n	2518	4.8%
M	2506	4.8%
A	2493	4.7%
e	2475	4.7%
l	2470	4.7%
Other values (9)	11240	21.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42490	80.9%
Uppercase Letter	10000	19.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	7565	17.8%
a	6264	14.7%
r	6188	14.6%
y	4994	11.8%
n	2518	5.9%
e	2475	5.8%
l	2470	5.8%
t	1282	3.0%
s	1282	3.0%
g	1282	3.0%
Other values (5)	6170	14.5%

Uppercase Letter

Value	Count	Frequency (%)
J	3777	37.8%
M	2506	25.1%
A	2493	24.9%
F	1224	12.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	52490	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	7565	14.4%
a	6264	11.9%
r	6188	11.8%
y	4994	9.5%
J	3777	7.2%
n	2518	4.8%
M	2506	4.8%
A	2493	4.7%
e	2475	4.7%
l	2470	4.7%
Other values (9)	11240	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52490	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	7565	14.4%
a	6264	11.9%
r	6188	11.8%
y	4994	9.5%
J	3777	7.2%
n	2518	4.8%
M	2506	4.8%
A	2493	4.7%
e	2475	4.7%
l	2470	4.7%
Other values (9)	11240	21.4%

Age
Real number (ℝ)

Distinct	218
Distinct (%)	2.3%
Missing	463
Missing (%)	4.6%
Infinite	0
Infinite (%)	0.0%
Mean	111.93258

Minimum	-500
Maximum	8505
Zeros	0
Zeros (%)	0.0%
Negative	81
Negative (%)	0.8%
Memory size	156.2 KiB

Quantile statistics

Minimum	-500
5-th percentile	16
Q1	24
median	33
Q3	42
95-th percentile	53
Maximum	8505
Range	9005
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	684.93214
Coefficient of variation (CV)	6.1191492
Kurtosis	85.965915
Mean	111.93258
Median Absolute Deviation (MAD)	9
Skewness	9.0246588
Sum	1067501
Variance	469132.04
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	301	3.0%
38	301	3.0%
26	297	3.0%
31	291	2.9%
43	284	2.8%
19	278	2.8%
20	278	2.8%
21	277	2.8%
42	276	2.8%
28	274	2.7%
Other values (208)	6680	66.8%
(Missing)	463	4.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-500	81	0.8%
14	111	1.1%
15	170	1.7%
16	118	1.2%
17	155	1.6%
18	217	2.2%
19	278	2.8%
20	278	2.8%
21	277	2.8%
22	255	2.5%

Value	Count	Frequency (%)
8505	1	< 0.1%
8470	1	< 0.1%
8425	1	< 0.1%
8406	1	< 0.1%
8352	1	< 0.1%
8315	1	< 0.1%
8233	1	< 0.1%
8216	1	< 0.1%
8154	1	< 0.1%
8149	1	< 0.1%

Occupation
Categorical

Distinct	16
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	717.2 KiB

_______	691
Manager	682
Accountant	674
Lawyer	665
Mechanic	655
Other values (11)	6633

Length

Max length	13
Median length	10
Mean length	8.4395
Min length	6

Characters and Unicode

Total characters	84395
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Architect
2nd row	Media_Manager
3rd row	Journalist
4th row	Entrepreneur
5th row	Journalist

Common Values

Value	Count	Frequency (%)
_______	691	6.9%
Manager	682	6.8%
Accountant	674	6.7%
Lawyer	665	6.7%
Mechanic	655	6.6%
Media_Manager	653	6.5%
Architect	643	6.4%
Developer	640	6.4%
Engineer	624	6.2%
Scientist	620	6.2%
Other values (6)	3453	34.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	691	6.9%
manager	682	6.8%
accountant	674	6.7%
lawyer	665	6.7%
mechanic	655	6.6%
media_manager	653	6.5%
architect	643	6.4%
developer	640	6.4%
engineer	624	6.2%
scientist	620	6.2%
Other values (6)	3453	34.5%

Most occurring characters

Value	Count	Frequency (%)
e	11289	13.4%
r	8593	10.2%
n	7494	8.9%
a	7009	8.3%
c	6281	7.4%
t	6199	7.3%
i	6024	7.1%
_	5490	6.5%
M	3177	3.8%
o	3056	3.6%
Other values (18)	19783	23.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	68943	81.7%
Uppercase Letter	9962	11.8%
Connector Punctuation	5490	6.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	11289	16.4%
r	8593	12.5%
n	7494	10.9%
a	7009	10.2%
c	6281	9.1%
t	6199	9.0%
i	6024	8.7%
o	3056	4.4%
u	2367	3.4%
g	1959	2.8%
Other values (8)	8672	12.6%

Uppercase Letter

Value	Count	Frequency (%)
M	3177	31.9%
A	1317	13.2%
D	1229	12.3%
E	1219	12.2%
L	665	6.7%
S	620	6.2%
T	594	6.0%
W	577	5.8%
J	564	5.7%

Connector Punctuation

Value	Count	Frequency (%)
_	5490	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	78905	93.5%
Common	5490	6.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	11289	14.3%
r	8593	10.9%
n	7494	9.5%
a	7009	8.9%
c	6281	8.0%
t	6199	7.9%
i	6024	7.6%
M	3177	4.0%
o	3056	3.9%
u	2367	3.0%
Other values (17)	17416	22.1%

Common

Value	Count	Frequency (%)
_	5490	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	84395	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	11289	13.4%
r	8593	10.2%
n	7494	8.9%
a	7009	8.3%
c	6281	7.4%
t	6199	7.3%
i	6024	7.1%
_	5490	6.5%
M	3177	3.8%
o	3056	3.6%
Other values (18)	19783	23.4%

Annual_Income
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	6809
Distinct (%)	73.4%
Missing	727
Missing (%)	7.3%
Infinite	0
Infinite (%)	0.0%
Mean	187407.65

Minimum	7006.035
Maximum	24198062
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	7006.035
5-th percentile	9897.565
Q1	19536.45
median	37071.2
Q3	72287.52
95-th percentile	135743.29
Maximum	24198062
Range	24191056
Interquartile range (IQR)	52751.07

Descriptive statistics

Standard deviation	1480977.2
Coefficient of variation (CV)	7.9024371
Kurtosis	151.22029
Mean	187407.65
Median Absolute Deviation (MAD)	21002.81
Skewness	11.967588
Sum	1.7378312 × 10⁹
Variance	2.1932934 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17445.15	5	0.1%
40341.16	5	0.1%
94811.36	5	0.1%
10120.28	4	< 0.1%
98019.84	4	< 0.1%
26309.54	4	< 0.1%
14155.74	4	< 0.1%
19227.17	4	< 0.1%
10439.97	4	< 0.1%
136150.6	4	< 0.1%
Other values (6799)	9230	92.3%
(Missing)	727	7.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7006.035	3	< 0.1%
7011.685	1	< 0.1%
7012.31	2	< 0.1%
7020.545	1	< 0.1%
7046.5	1	< 0.1%
7056.405	1	< 0.1%
7059.455	1	< 0.1%
7064.385	1	< 0.1%
7077.87	1	< 0.1%
7079.32	1	< 0.1%

Value	Count	Frequency (%)
24198062	1	< 0.1%
23884555	1	< 0.1%
23784659	1	< 0.1%
23498432	1	< 0.1%
23266988	1	< 0.1%
22853346	1	< 0.1%
22644332	1	< 0.1%
22456326	1	< 0.1%
22063213	1	< 0.1%
21958247	1	< 0.1%

Monthly_Inhand_Salary
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	6426
Distinct (%)	75.7%
Missing	1507
Missing (%)	15.1%
Infinite	0
Infinite (%)	0.0%
Mean	4171.7644

Minimum	332.12833
Maximum	15204.633
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	332.12833
5-th percentile	850.57133
Q1	1626.7617
median	3079.355
Q3	5954.6467
95-th percentile	10854.38
Maximum	15204.633
Range	14872.505
Interquartile range (IQR)	4327.885

Descriptive statistics

Standard deviation	3173.6832
Coefficient of variation (CV)	0.76075322
Kurtosis	0.67007997
Mean	4171.7644
Median Absolute Deviation (MAD)	1727.9225
Skewness	1.1530678
Sum	35430795
Variance	10072265
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10739.36667	5	0.1%
840.06	4	< 0.1%
1103.9975	4	< 0.1%
4753.526667	4	< 0.1%
11127.88333	4	< 0.1%
507.5954167	4	< 0.1%
1897.105	4	< 0.1%
10999.55333	4	< 0.1%
1463.2475	4	< 0.1%
2553.963333	4	< 0.1%
Other values (6416)	8452	84.5%
(Missing)	1507	15.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
332.1283333	2	< 0.1%
332.43125	2	< 0.1%
333.5966667	1	< 0.1%
355.2083333	1	< 0.1%
357.2558333	2	< 0.1%
368.3741667	1	< 0.1%
379.3908333	1	< 0.1%
393.1591667	1	< 0.1%
393.69875	1	< 0.1%
403.2541667	1	< 0.1%

Value	Count	Frequency (%)
15204.63333	1	< 0.1%
15167.18	2	< 0.1%
15136.69667	1	< 0.1%
15101.94	1	< 0.1%
15038.31667	1	< 0.1%
14958.33667	1	< 0.1%
14880.38333	1	< 0.1%
14867.81333	1	< 0.1%
14866.44667	2	< 0.1%
14856.48333	1	< 0.1%

Num_Bank_Accounts
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	151
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.6387

Minimum	-1
Maximum	1777
Zeros	409
Zeros (%)	4.1%
Negative	2
Negative (%)	< 0.1%
Memory size	156.2 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	4
median	6
Q3	8
95-th percentile	10
Maximum	1777
Range	1778
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	117.78515
Coefficient of variation (CV)	6.6776551
Kurtosis	124.57827
Mean	17.6387
Median Absolute Deviation (MAD)	2
Skewness	10.840897
Sum	176387
Variance	13873.343
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	1294	12.9%
6	1293	12.9%
7	1287	12.9%
5	1232	12.3%
4	1190	11.9%
3	1187	11.9%
9	560	5.6%
10	549	5.5%
2	433	4.3%
1	423	4.2%
Other values (141)	552	5.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	2	< 0.1%
0	409	4.1%
1	423	4.2%
2	433	4.3%
3	1187	11.9%
4	1190	11.9%
5	1232	12.3%
6	1293	12.9%
7	1287	12.9%
8	1294	12.9%

Value	Count	Frequency (%)
1777	1	< 0.1%
1763	1	< 0.1%
1756	1	< 0.1%
1739	1	< 0.1%
1735	1	< 0.1%
1714	1	< 0.1%
1652	1	< 0.1%
1645	1	< 0.1%
1637	1	< 0.1%
1631	1	< 0.1%

Num_Credit_Card
Real number (ℝ)

Distinct	213
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.6755

Minimum	0
Maximum	1490
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	6
Q3	7
95-th percentile	10
Maximum	1490
Range	1490
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	120.18454
Coefficient of variation (CV)	5.8128962
Kurtosis	83.661014
Mean	20.6755
Median Absolute Deviation (MAD)	1
Skewness	8.9335599
Sum	206755
Variance	14444.323
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	1845	18.4%
6	1705	17.1%
7	1648	16.5%
4	1337	13.4%
3	1318	13.2%
8	529	5.3%
10	494	4.9%
9	458	4.6%
1	236	2.4%
2	207	2.1%
Other values (203)	223	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	236	2.4%
2	207	2.1%
3	1318	13.2%
4	1337	13.4%
5	1845	18.4%
6	1705	17.1%
7	1648	16.5%
8	529	5.3%
9	458	4.6%

Value	Count	Frequency (%)
1490	2	< 0.1%
1480	1	< 0.1%
1477	1	< 0.1%
1473	1	< 0.1%
1466	1	< 0.1%
1440	1	< 0.1%
1436	1	< 0.1%
1426	1	< 0.1%
1420	1	< 0.1%
1407	1	< 0.1%

Interest_Rate
Real number (ℝ)

Distinct	216
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67.6847

Minimum	1
Maximum	5797
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	8
median	14
Q3	20
95-th percentile	32
Maximum	5797
Range	5796
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	442.44066
Coefficient of variation (CV)	6.5367899
Kurtosis	93.795239
Mean	67.6847
Median Absolute Deviation (MAD)	6
Skewness	9.4052611
Sum	676847
Variance	195753.74
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	520	5.2%
5	498	5.0%
6	465	4.7%
12	458	4.6%
9	450	4.5%
10	446	4.5%
15	425	4.2%
11	421	4.2%
7	416	4.2%
18	415	4.2%
Other values (206)	5486	54.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	269	2.7%
2	224	2.2%
3	273	2.7%
4	288	2.9%
5	498	5.0%
6	465	4.7%
7	416	4.2%
8	520	5.2%
9	450	4.5%
10	446	4.5%

Value	Count	Frequency (%)
5797	1	< 0.1%
5776	1	< 0.1%
5770	1	< 0.1%
5745	1	< 0.1%
5729	1	< 0.1%
5698	1	< 0.1%
5677	1	< 0.1%
5633	1	< 0.1%
5623	1	< 0.1%
5615	1	< 0.1%

Num_of_Loan
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	51
Distinct (%)	0.5%
Missing	463
Missing (%)	4.6%
Infinite	0
Infinite (%)	0.0%
Mean	2.5174583

Minimum	-100
Maximum	1482
Zeros	962
Zeros (%)	9.6%
Negative	391
Negative (%)	3.9%
Memory size	156.2 KiB

Quantile statistics

Minimum	-100
5-th percentile	0
Q1	2
median	3
Q3	5
95-th percentile	8
Maximum	1482
Range	1582
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	59.970722
Coefficient of variation (CV)	23.821933
Kurtosis	336.90301
Mean	2.5174583
Median Absolute Deviation (MAD)	2
Skewness	16.461218
Sum	24009
Variance	3596.4876
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	1423	14.2%
2	1421	14.2%
4	1406	14.1%
1	1017	10.2%
0	962	9.6%
7	783	7.8%
6	749	7.5%
5	659	6.6%
-100	391	3.9%
9	376	3.8%
Other values (41)	350	3.5%
(Missing)	463	4.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-100	391	3.9%
0	962	9.6%
1	1017	10.2%
2	1421	14.2%
3	1423	14.2%
4	1406	14.1%
5	659	6.6%
6	749	7.5%
7	783	7.8%
8	309	3.1%

Value	Count	Frequency (%)
1482	1	< 0.1%
1480	1	< 0.1%
1465	1	< 0.1%
1406	1	< 0.1%
1391	1	< 0.1%
1354	1	< 0.1%
1319	1	< 0.1%
1150	2	< 0.1%
1129	1	< 0.1%
1017	1	< 0.1%

Type_of_Loan
Categorical

HIGH CARDINALITY MISSING

Distinct	3890
Distinct (%)	43.5%
Missing	1060
Missing (%)	10.6%
Memory size	1.2 MiB

Debt Consolidation Loan	135
Personal Loan	134
Not Specified	132
Student Loan	127
Credit-Builder Loan	126
Other values (3885)	8286

Length

Max length	178
Median length	139
Mean length	67.350671
Min length	9

Characters and Unicode

Total characters	602115
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2265 ?
Unique (%)	25.3%

Sample

1st row	Student Loan, and Personal Loan
2nd row	Student Loan, Home Equity Loan, and Payday Loan
3rd row	Mortgage Loan, Auto Loan, Not Specified, Not Specified, and Debt Consolidation Loan
4th row	Home Equity Loan, Personal Loan, Debt Consolidation Loan, and Debt Consolidation Loan
5th row	Credit-Builder Loan, and Not Specified

Common Values

Value	Count	Frequency (%)
Debt Consolidation Loan	135	1.4%
Personal Loan	134	1.3%
Not Specified	132	1.3%
Student Loan	127	1.3%
Credit-Builder Loan	126	1.3%
Home Equity Loan	121	1.2%
Auto Loan	117	1.2%
Mortgage Loan	112	1.1%
Payday Loan	111	1.1%
Payday Loan, and Auto Loan	31	0.3%
Other values (3880)	7794	77.9%
(Missing)	1060	10.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
loan	32081	36.5%
and	7825	8.9%
payday	4195	4.8%
credit-builder	4050	4.6%
home	4050	4.6%
equity	4050	4.6%
personal	4019	4.6%
debt	4001	4.6%
consolidation	4001	4.6%
not	3935	4.5%
Other values (4)	15701	17.9%

Most occurring characters

Value	Count	Frequency (%)
	78968	13.1%
o	63923	10.6%
a	60230	10.0%
n	55858	9.3%
e	35885	6.0%
t	35734	5.9%
L	32081	5.3%
d	31987	5.3%
i	28022	4.7%
,	27076	4.5%
Other values (23)	152351	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	407888	67.7%
Uppercase Letter	84133	14.0%
Space Separator	78968	13.1%
Other Punctuation	27076	4.5%
Dash Punctuation	4050	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	63923	15.7%
a	60230	14.8%
n	55858	13.7%
e	35885	8.8%
t	35734	8.8%
d	31987	7.8%
i	28022	6.9%
r	16033	3.9%
u	15952	3.9%
y	12440	3.0%
Other values (9)	51824	12.7%

Uppercase Letter

Value	Count	Frequency (%)
L	32081	38.1%
P	8214	9.8%
C	8051	9.6%
S	7866	9.3%
E	4050	4.8%
B	4050	4.8%
H	4050	4.8%
D	4001	4.8%
N	3935	4.7%
A	3921	4.7%

Space Separator

Value	Count	Frequency (%)
	78968	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	27076	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4050	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	492021	81.7%
Common	110094	18.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	63923	13.0%
a	60230	12.2%
n	55858	11.4%
e	35885	7.3%
t	35734	7.3%
L	32081	6.5%
d	31987	6.5%
i	28022	5.7%
r	16033	3.3%
u	15952	3.2%
Other values (20)	116316	23.6%

Common

Value	Count	Frequency (%)
	78968	71.7%
,	27076	24.6%
-	4050	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	602115	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	78968	13.1%
o	63923	10.6%
a	60230	10.0%
n	55858	9.3%
e	35885	6.0%
t	35734	5.9%
L	32081	5.3%
d	31987	5.3%
i	28022	4.7%
,	27076	4.5%
Other values (23)	152351	25.3%

Delay_from_due_date
Real number (ℝ)

Distinct	73
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.2693

Minimum	-5
Maximum	67
Zeros	88
Zeros (%)	0.9%
Negative	53
Negative (%)	0.5%
Memory size	156.2 KiB

Quantile statistics

Minimum	-5
5-th percentile	3
Q1	10
median	18
Q3	28
95-th percentile	54
Maximum	67
Range	72
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.95075
Coefficient of variation (CV)	0.70292629
Kurtosis	0.28179097
Mean	21.2693
Median Absolute Deviation (MAD)	9
Skewness	0.94353487
Sum	212693
Variance	223.52493
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	335	3.4%
8	330	3.3%
14	329	3.3%
5	328	3.3%
9	325	3.2%
13	316	3.2%
12	312	3.1%
7	311	3.1%
10	310	3.1%
11	310	3.1%
Other values (63)	6794	67.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5	3	< 0.1%
-4	6	0.1%
-3	6	0.1%
-2	19	0.2%
-1	19	0.2%
0	88	0.9%
1	140	1.4%
2	138	1.4%
3	191	1.9%
4	182	1.8%

Value	Count	Frequency (%)
67	7	0.1%
66	5	0.1%
65	4	< 0.1%
64	7	0.1%
63	7	0.1%
62	54	0.5%
61	52	0.5%
60	58	0.6%
59	37	0.4%
58	50	0.5%

Num_of_Delayed_Payment
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	97
Distinct (%)	1.1%
Missing	1012
Missing (%)	10.1%
Infinite	0
Infinite (%)	0.0%
Mean	29.833445

Minimum	-3
Maximum	4293
Zeros	142
Zeros (%)	1.4%
Negative	65
Negative (%)	0.7%
Memory size	156.2 KiB

Quantile statistics

Minimum	-3
5-th percentile	2
Q1	9
median	14
Q3	18
95-th percentile	24
Maximum	4293
Range	4296
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	219.10876
Coefficient of variation (CV)	7.3444002
Kurtosis	227.20087
Mean	29.833445
Median Absolute Deviation (MAD)	5
Skewness	14.69701
Sum	268143
Variance	48008.648
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	561	5.6%
18	552	5.5%
19	539	5.4%
17	515	5.1%
16	512	5.1%
12	506	5.1%
15	494	4.9%
20	488	4.9%
9	468	4.7%
8	449	4.5%
Other values (87)	3904	39.0%
(Missing)	1012	10.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3	6	0.1%
-2	20	0.2%
-1	39	0.4%
0	142	1.4%
1	158	1.6%
2	186	1.9%
3	170	1.7%
4	186	1.9%
5	200	2.0%
6	237	2.4%

Value	Count	Frequency (%)
4293	1	< 0.1%
4169	1	< 0.1%
4106	1	< 0.1%
4096	1	< 0.1%
4069	1	< 0.1%
4024	1	< 0.1%
3951	1	< 0.1%
3793	1	< 0.1%
3765	1	< 0.1%
3750	1	< 0.1%

Changed_Credit_Limit
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	2706
Distinct (%)	27.7%
Missing	243
Missing (%)	2.4%
Infinite	0
Infinite (%)	0.0%
Mean	10.413096

Minimum	-6.37
Maximum	35.89
Zeros	0
Zeros (%)	0.0%
Negative	169
Negative (%)	1.7%
Memory size	156.2 KiB

Quantile statistics

Minimum	-6.37
5-th percentile	1.13
Q1	5.4
median	9.45
Q3	14.9
95-th percentile	23.37
Maximum	35.89
Range	42.26
Interquartile range (IQR)	9.5

Descriptive statistics

Standard deviation	6.7919433
Coefficient of variation (CV)	0.65225013
Kurtosis	0.11727852
Mean	10.413096
Median Absolute Deviation (MAD)	4.58
Skewness	0.62990294
Sum	101600.58
Variance	46.130494
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.49	19	0.2%
11.5	18	0.2%
0.57	17	0.2%
8.22	16	0.2%
10.7	16	0.2%
9.97	16	0.2%
14.37	15	0.1%
8.3	14	0.1%
10.31	14	0.1%
8.74	13	0.1%
Other values (2696)	9599	96.0%
(Missing)	243	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-6.37	1	< 0.1%
-6.35	1	< 0.1%
-6.27	1	< 0.1%
-6.02	1	< 0.1%
-5.9	1	< 0.1%
-5.63	1	< 0.1%
-5.55	1	< 0.1%
-5.52	1	< 0.1%
-5.01	2	< 0.1%
-4.97	1	< 0.1%

Value	Count	Frequency (%)
35.89	1	< 0.1%
35.4	1	< 0.1%
35.02	1	< 0.1%
34.91	1	< 0.1%
34.81	1	< 0.1%
34.48	1	< 0.1%
33.98	1	< 0.1%
33.96	1	< 0.1%
33.92	1	< 0.1%
33.19	1	< 0.1%

Num_Credit_Inquiries
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	182
Distinct (%)	1.9%
Missing	178
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	29.019955

Minimum	0
Maximum	2568
Zeros	699
Zeros (%)	7.0%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	6
Q3	9
95-th percentile	13
Maximum	2568
Range	2568
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	199.2386
Coefficient of variation (CV)	6.8655721
Kurtosis	93.242017
Mean	29.019955
Median Absolute Deviation (MAD)	3
Skewness	9.4687865
Sum	285034
Variance	39696.018
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	1069	10.7%
3	918	9.2%
8	832	8.3%
7	824	8.2%
6	791	7.9%
2	781	7.8%
1	743	7.4%
0	699	7.0%
9	564	5.6%
5	548	5.5%
Other values (172)	2053	20.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	699	7.0%
1	743	7.4%
2	781	7.8%
3	918	9.2%
4	1069	10.7%
5	548	5.5%
6	791	7.9%
7	824	8.2%
8	832	8.3%
9	564	5.6%

Value	Count	Frequency (%)
2568	1	< 0.1%
2541	1	< 0.1%
2473	1	< 0.1%
2469	1	< 0.1%
2433	1	< 0.1%
2420	1	< 0.1%
2418	1	< 0.1%
2399	1	< 0.1%
2389	1	< 0.1%
2374	1	< 0.1%

Credit_Mix
Categorical

HIGH CORRELATION MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	2005
Missing (%)	20.1%
Memory size	624.9 KiB

1.0	3693
2.0	2369
0.0	1933

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	23985
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	3693	36.9%
2.0	2369	23.7%
0.0	1933	19.3%
(Missing)	2005	20.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	3693	46.2%
2.0	2369	29.6%
0.0	1933	24.2%

Most occurring characters

Value	Count	Frequency (%)
0	9928	41.4%
.	7995	33.3%
1	3693	15.4%
2	2369	9.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15990	66.7%
Other Punctuation	7995	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9928	62.1%
1	3693	23.1%
2	2369	14.8%

Other Punctuation

Value	Count	Frequency (%)
.	7995	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	23985	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9928	41.4%
.	7995	33.3%
1	3693	15.4%
2	2369	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23985	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9928	41.4%
.	7995	33.3%
1	3693	15.4%
2	2369	9.9%

Outstanding_Debt
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	6986
Distinct (%)	70.6%
Missing	105
Missing (%)	1.1%
Infinite	0
Infinite (%)	0.0%
Mean	1433.7231

Minimum	0.23
Maximum	4998.07
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0.23
5-th percentile	124.738
Q1	562.34
median	1175.67
Q3	1966.58
95-th percentile	4106.36
Maximum	4998.07
Range	4997.84
Interquartile range (IQR)	1404.24

Descriptive statistics

Standard deviation	1162.1036
Coefficient of variation (CV)	0.8105495
Kurtosis	0.87663489
Mean	1433.7231
Median Absolute Deviation (MAD)	652.78
Skewness	1.1988535
Sum	14186690
Variance	1350484.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2362.17	5	0.1%
356.24	5	0.1%
461.05	5	0.1%
883.26	5	0.1%
1484.37	5	0.1%
55.2	5	0.1%
314.58	5	0.1%
255.76	5	0.1%
1636.23	4	< 0.1%
156.76	4	< 0.1%
Other values (6976)	9847	98.5%
(Missing)	105	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.23	2	< 0.1%
0.56	2	< 0.1%
0.95	2	< 0.1%
1.23	1	< 0.1%
1.33	1	< 0.1%
2.04	1	< 0.1%
2.13	1	< 0.1%
2.43	1	< 0.1%
3.31	3	< 0.1%
3.68	1	< 0.1%

Value	Count	Frequency (%)
4998.07	1	< 0.1%
4992.25	1	< 0.1%
4990.91	1	< 0.1%
4987.19	1	< 0.1%
4986.03	1	< 0.1%
4984.82	1	< 0.1%
4980.31	1	< 0.1%
4974.31	1	< 0.1%
4973.64	2	< 0.1%
4972.4	1	< 0.1%

Credit_Utilization_Ratio
Real number (ℝ)

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.345498

Minimum	21.273807
Maximum	48.247003
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	21.273807
5-th percentile	24.267745
Q1	28.107137
median	32.394472
Q3	36.59263
95-th percentile	40.372347
Maximum	48.247003
Range	26.973196
Interquartile range (IQR)	8.4854934

Descriptive statistics

Standard deviation	5.1475369
Coefficient of variation (CV)	0.1591423
Kurtosis	-0.95611171
Mean	32.345498
Median Absolute Deviation (MAD)	4.2324135
Skewness	0.024475673
Sum	323454.98
Variance	26.497136
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26.4882157	1	< 0.1%
29.68456247	1	< 0.1%
30.83446963	1	< 0.1%
26.60556424	1	< 0.1%
31.46398258	1	< 0.1%
35.05695098	1	< 0.1%
25.57489634	1	< 0.1%
31.57807818	1	< 0.1%
24.47333706	1	< 0.1%
36.84594811	1	< 0.1%
Other values (9990)	9990	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21.27380667	1	< 0.1%
21.31090683	1	< 0.1%
21.50221669	1	< 0.1%
21.53227272	1	< 0.1%
21.61579547	1	< 0.1%
21.62851115	1	< 0.1%
21.7017408	1	< 0.1%
21.78319195	1	< 0.1%
21.80316585	1	< 0.1%
21.82161409	1	< 0.1%

Value	Count	Frequency (%)
48.24700252	1	< 0.1%
48.19982398	1	< 0.1%
48.1917489	1	< 0.1%
48.02324923	1	< 0.1%
47.96956024	1	< 0.1%
46.51063306	1	< 0.1%
46.44557698	1	< 0.1%
45.41155254	1	< 0.1%
45.33520502	1	< 0.1%
45.2971679	1	< 0.1%

Credit_History_Age
Categorical

HIGH CARDINALITY MISSING

Distinct	402
Distinct (%)	4.4%
Missing	886
Missing (%)	8.9%
Memory size	799.9 KiB

18 Years and 2 Months	51
15 Years and 9 Months	51
18 Years and 5 Months	49
15 Years and 11 Months	48
17 Years and 11 Months	48
Other values (397)	8867

Length

Max length	22
Median length	21
Mean length	20.982335
Min length	20

Characters and Unicode

Total characters	191233
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	32 Years and 10 Months
2nd row	26 Years and 9 Months
3rd row	10 Years and 10 Months
4th row	20 Years and 7 Months
5th row	20 Years and 4 Months

Common Values

Value	Count	Frequency (%)
18 Years and 2 Months	51	0.5%
15 Years and 9 Months	51	0.5%
18 Years and 5 Months	49	0.5%
15 Years and 11 Months	48	0.5%
17 Years and 11 Months	48	0.5%
18 Years and 8 Months	47	0.5%
17 Years and 5 Months	47	0.5%
19 Years and 5 Months	46	0.5%
19 Years and 2 Months	45	0.4%
18 Years and 3 Months	45	0.4%
Other values (392)	8637	86.4%
(Missing)	886	8.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	9114	20.0%
months	9114	20.0%
years	9114	20.0%
11	1102	2.4%
9	1092	2.4%
8	1081	2.4%
10	1026	2.3%
5	1008	2.2%
6	990	2.2%
7	959	2.1%
Other values (27)	10970	24.1%

Most occurring characters

Value	Count	Frequency (%)
	36456	19.1%
a	18228	9.5%
s	18228	9.5%
n	18228	9.5%
M	9114	4.8%
o	9114	4.8%
Y	9114	4.8%
e	9114	4.8%
r	9114	4.8%
d	9114	4.8%
Other values (12)	45409	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	109368	57.2%
Space Separator	36456	19.1%
Decimal Number	27181	14.2%
Uppercase Letter	18228	9.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7692	28.3%
2	4504	16.6%
3	2544	9.4%
0	2357	8.7%
9	1861	6.8%
8	1839	6.8%
7	1708	6.3%
6	1675	6.2%
5	1645	6.1%
4	1356	5.0%

Lowercase Letter

Value	Count	Frequency (%)
a	18228	16.7%
s	18228	16.7%
n	18228	16.7%
o	9114	8.3%
e	9114	8.3%
r	9114	8.3%
d	9114	8.3%
h	9114	8.3%
t	9114	8.3%

Uppercase Letter

Value	Count	Frequency (%)
M	9114	50.0%
Y	9114	50.0%

Space Separator

Value	Count	Frequency (%)
	36456	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	127596	66.7%
Common	63637	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	36456	57.3%
1	7692	12.1%
2	4504	7.1%
3	2544	4.0%
0	2357	3.7%
9	1861	2.9%
8	1839	2.9%
7	1708	2.7%
6	1675	2.6%
5	1645	2.6%

Latin

Value	Count	Frequency (%)
a	18228	14.3%
s	18228	14.3%
n	18228	14.3%
M	9114	7.1%
o	9114	7.1%
Y	9114	7.1%
e	9114	7.1%
r	9114	7.1%
d	9114	7.1%
h	9114	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	191233	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	36456	19.1%
a	18228	9.5%
s	18228	9.5%
n	18228	9.5%
M	9114	4.8%
o	9114	4.8%
Y	9114	4.8%
e	9114	4.8%
r	9114	4.8%
d	9114	4.8%
Other values (12)	45409	23.7%

Payment_of_Min_Amount
Categorical

HIGH CORRELATION MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1176
Missing (%)	11.8%
Memory size	641.1 KiB

1.0	5278
0.0	3546

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	26472
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	5278	52.8%
0.0	3546	35.5%
(Missing)	1176	11.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	5278	59.8%
0.0	3546	40.2%

Most occurring characters

Value	Count	Frequency (%)
0	12370	46.7%
.	8824	33.3%
1	5278	19.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17648	66.7%
Other Punctuation	8824	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12370	70.1%
1	5278	29.9%

Other Punctuation

Value	Count	Frequency (%)
.	8824	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	26472	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12370	46.7%
.	8824	33.3%
1	5278	19.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26472	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12370	46.7%
.	8824	33.3%
1	5278	19.9%

Total_EMI_per_month
Real number (ℝ)

Distinct	6624
Distinct (%)	66.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1453.6037

Minimum	0
Maximum	81194
Zeros	982
Zeros (%)	9.8%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31.496968
median	71.274774
Q3	164.6238
95-th percentile	447.86809
Maximum	81194
Range	81194
Interquartile range (IQR)	133.12683

Descriptive statistics

Standard deviation	8401.0699
Coefficient of variation (CV)	5.7794776
Kurtosis	48.686218
Mean	1453.6037
Median Absolute Deviation (MAD)	50.488524
Skewness	6.8769726
Sum	14536037
Variance	70577976
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	982	9.8%
248.4607171	5	0.1%
27.14755195	4	< 0.1%
185.2959011	4	< 0.1%
94.57002245	4	< 0.1%
36.95983375	4	< 0.1%
39.6718144	4	< 0.1%
40.17366685	4	< 0.1%
135.2489551	4	< 0.1%
37.15545093	4	< 0.1%
Other values (6614)	8981	89.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	982	9.8%
4.713183572	2	< 0.1%
4.916138542	2	< 0.1%
5.262291048	1	< 0.1%
5.351086151	1	< 0.1%
5.463308978	2	< 0.1%
5.629824417	2	< 0.1%
5.905518076	1	< 0.1%
5.968634609	1	< 0.1%
5.994895587	1	< 0.1%

Value	Count	Frequency (%)
81194	1	< 0.1%
80871	1	< 0.1%
80280	1	< 0.1%
80239	1	< 0.1%
80213	1	< 0.1%
80135	1	< 0.1%
80080	1	< 0.1%
79448	1	< 0.1%
79286	1	< 0.1%
79236	1	< 0.1%

Amount_invested_monthly
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	9120
Distinct (%)	99.9%
Missing	868
Missing (%)	8.7%
Infinite	0
Infinite (%)	0.0%
Mean	194.64478

Minimum	0
Maximum	1890.8558
Zeros	13
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0
5-th percentile	32.064661
Q1	72.709619
median	129.42891
Q3	234.13252
95-th percentile	611.29296
Maximum	1890.8558
Range	1890.8558
Interquartile range (IQR)	161.4229

Descriptive statistics

Standard deviation	199.32319
Coefficient of variation (CV)	1.0240356
Kurtosis	9.3592285
Mean	194.64478
Median Absolute Deviation (MAD)	67.961237
Skewness	2.6394274
Sum	1777496.1
Variance	39729.733
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	13	0.1%
130.1580029	1	< 0.1%
135.642191	1	< 0.1%
20.37054805	1	< 0.1%
41.9750478	1	< 0.1%
31.92174979	1	< 0.1%
227.5540172	1	< 0.1%
171.0267804	1	< 0.1%
144.5797092	1	< 0.1%
47.01403903	1	< 0.1%
Other values (9110)	9110	91.1%
(Missing)	868	8.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	0.1%
10.07193677	1	< 0.1%
10.42191091	1	< 0.1%
10.54620674	1	< 0.1%
10.5717847	1	< 0.1%
10.73413246	1	< 0.1%
10.86864196	1	< 0.1%
10.98203275	1	< 0.1%
11.02466441	1	< 0.1%
11.2444098	1	< 0.1%

Value	Count	Frequency (%)
1890.855773	1	< 0.1%
1804.355694	1	< 0.1%
1756.576983	1	< 0.1%
1701.055068	1	< 0.1%
1565.011244	1	< 0.1%
1523.290981	1	< 0.1%
1511.743094	1	< 0.1%
1490.985009	1	< 0.1%
1484.209196	1	< 0.1%
1461.679861	1	< 0.1%

Payment_Behaviour
Categorical

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	917.6 KiB

Low_spent_Small_value_payments	2615
High_spent_Medium_value_payments	1726
Low_spent_Medium_value_payments	1388
High_spent_Large_value_payments	1339
High_spent_Small_value_payments	1157
Other values (2)	1775

Length

Max length	32
Median length	31
Mean length	28.9576
Min length	6

Characters and Unicode

Total characters	289576
Distinct characters	29
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High_spent_Small_value_payments
2nd row	Low_spent_Small_value_payments
3rd row	High_spent_Small_value_payments
4th row	Low_spent_Small_value_payments
5th row	High_spent_Small_value_payments

Common Values

Value	Count	Frequency (%)
Low_spent_Small_value_payments	2615	26.2%
High_spent_Medium_value_payments	1726	17.3%
Low_spent_Medium_value_payments	1388	13.9%
High_spent_Large_value_payments	1339	13.4%
High_spent_Small_value_payments	1157	11.6%
Low_spent_Large_value_payments	1035	10.3%
!@9#%8	740	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low_spent_small_value_payments	2615	26.2%
high_spent_medium_value_payments	1726	17.3%
low_spent_medium_value_payments	1388	13.9%
high_spent_large_value_payments	1339	13.4%
high_spent_small_value_payments	1157	11.6%
low_spent_large_value_payments	1035	10.3%
9#%8	740	7.4%

Most occurring characters

Value	Count	Frequency (%)
_	37040	12.8%
e	33268	11.5%
a	24666	8.5%
s	18520	6.4%
p	18520	6.4%
n	18520	6.4%
t	18520	6.4%
l	16804	5.8%
m	16146	5.6%
u	12374	4.3%
Other values (19)	75198	26.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	229576	79.3%
Connector Punctuation	37040	12.8%
Uppercase Letter	18520	6.4%
Other Punctuation	2960	1.0%
Decimal Number	1480	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	33268	14.5%
a	24666	10.7%
s	18520	8.1%
p	18520	8.1%
n	18520	8.1%
t	18520	8.1%
l	16804	7.3%
m	16146	7.0%
u	12374	5.4%
y	9260	4.0%
Other values (8)	42978	18.7%

Uppercase Letter

Value	Count	Frequency (%)
L	7412	40.0%
H	4222	22.8%
S	3772	20.4%
M	3114	16.8%

Other Punctuation

Value	Count	Frequency (%)
!	740	25.0%
@	740	25.0%
#	740	25.0%
%	740	25.0%

Decimal Number

Value	Count	Frequency (%)
9	740	50.0%
8	740	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	37040	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	248096	85.7%
Common	41480	14.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	33268	13.4%
a	24666	9.9%
s	18520	7.5%
p	18520	7.5%
n	18520	7.5%
t	18520	7.5%
l	16804	6.8%
m	16146	6.5%
u	12374	5.0%
y	9260	3.7%
Other values (12)	61498	24.8%

Common

Value	Count	Frequency (%)
_	37040	89.3%
!	740	1.8%
@	740	1.8%
9	740	1.8%
#	740	1.8%
%	740	1.8%
8	740	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	289576	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	37040	12.8%
e	33268	11.5%
a	24666	8.5%
s	18520	6.4%
p	18520	6.4%
n	18520	6.4%
t	18520	6.4%
l	16804	5.8%
m	16146	5.6%
u	12374	4.3%
Other values (19)	75198	26.0%

Monthly_Balance
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	9881
Distinct (%)	100.0%
Missing	119
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	399.19647

Minimum	0.90814584
Maximum	1511.9166
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0.90814584
5-th percentile	172.4151
Q1	268.6712
median	334.52415
Q3	465.51773
95-th percentile	851.49579
Maximum	1511.9166
Range	1511.0085
Interquartile range (IQR)	196.84652

Descriptive statistics

Standard deviation	213.24553
Coefficient of variation (CV)	0.53418691
Kurtosis	3.2738453
Mean	399.19647
Median Absolute Deviation (MAD)	82.833186
Skewness	1.6487557
Sum	3944460.3
Variance	45473.656
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
339.7994878	1	< 0.1%
383.9356831	1	< 0.1%
441.2357318	1	< 0.1%
256.4158059	1	< 0.1%
100.1284199	1	< 0.1%
234.7622353	1	< 0.1%
329.6284117	1	< 0.1%
611.2733324	1	< 0.1%
269.4637068	1	< 0.1%
672.308116	1	< 0.1%
Other values (9871)	9871	98.7%
(Missing)	119	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.9081458437	1	< 0.1%
1.705492998	1	< 0.1%
1.780496225	1	< 0.1%
5.209196051	1	< 0.1%
5.238707186	1	< 0.1%
5.654871479	1	< 0.1%
6.673242297	1	< 0.1%
7.562479839	1	< 0.1%
7.828344202	1	< 0.1%
8.063863222	1	< 0.1%

Value	Count	Frequency (%)
1511.91663	1	< 0.1%
1510.106671	1	< 0.1%
1507.553363	1	< 0.1%
1486.73702	1	< 0.1%
1454.718143	1	< 0.1%
1450.817184	1	< 0.1%
1446.819406	1	< 0.1%
1439.860707	1	< 0.1%
1422.567523	1	< 0.1%
1400.658458	1	< 0.1%

Credit_Score
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	644.5 KiB

1	5314
0	2948
2	1738

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	5314	53.1%
0	2948	29.5%
2	1738	17.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5314	53.1%
0	2948	29.5%
2	1738	17.4%

Most occurring characters

Value	Count	Frequency (%)
1	5314	53.1%
0	2948	29.5%
2	1738	17.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5314	53.1%
0	2948	29.5%
2	1738	17.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	10000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	5314	53.1%
0	2948	29.5%
2	1738	17.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5314	53.1%
0	2948	29.5%
2	1738	17.4%

Auto

Heatmap
Table

	Age	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Outstanding_Debt	Credit_Utilization_Ratio	Total_EMI_per_month	Amount_invested_monthly	Monthly_Balance	Month	Occupation	Credit_Mix	Payment_of_Min_Amount	Payment_Behaviour	Credit_Score
Age	1.000	0.082	0.082	-0.163	-0.138	-0.208	-0.186	-0.162	-0.164	-0.141	-0.234	-0.201	0.026	-0.082	0.051	0.124	0.008	0.017	0.005	0.000	0.000	0.000
Annual_Income	0.082	1.000	0.975	-0.260	-0.189	-0.278	-0.217	-0.236	-0.240	-0.139	-0.258	-0.258	0.147	0.468	0.622	0.574	0.000	0.000	0.022	0.009	0.016	0.011
Monthly_Inhand_Salary	0.082	0.975	1.000	-0.262	-0.198	-0.287	-0.222	-0.240	-0.241	-0.146	-0.266	-0.272	0.148	0.461	0.637	0.597	0.000	0.028	0.292	0.350	0.170	0.193
Num_Bank_Accounts	-0.163	-0.260	-0.262	1.000	0.409	0.555	0.413	0.558	0.556	0.283	0.503	0.485	-0.073	0.114	-0.179	-0.297	0.021	0.000	0.022	0.016	0.000	0.010
Num_Credit_Card	-0.138	-0.189	-0.198	0.409	1.000	0.430	0.348	0.435	0.379	0.191	0.402	0.438	-0.055	0.109	-0.125	-0.232	0.012	0.006	0.000	0.000	0.000	0.000
Interest_Rate	-0.208	-0.278	-0.287	0.555	0.430	1.000	0.472	0.556	0.545	0.322	0.584	0.590	-0.073	0.146	-0.193	-0.340	0.013	0.011	0.006	0.000	0.009	0.020
Num_of_Loan	-0.186	-0.217	-0.222	0.413	0.348	0.472	1.000	0.426	0.416	0.280	0.498	0.524	-0.095	0.489	-0.152	-0.436	0.008	0.013	0.003	0.021	0.012	0.008
Delay_from_due_date	-0.162	-0.236	-0.240	0.558	0.435	0.556	0.426	1.000	0.538	0.273	0.506	0.524	-0.072	0.144	-0.158	-0.302	0.014	0.026	0.574	0.543	0.036	0.339
Num_of_Delayed_Payment	-0.164	-0.240	-0.241	0.556	0.379	0.545	0.416	0.538	1.000	0.267	0.479	0.469	-0.064	0.135	-0.173	-0.296	0.016	0.007	0.025	0.000	0.000	0.014
Changed_Credit_Limit	-0.141	-0.139	-0.146	0.283	0.191	0.322	0.280	0.273	0.267	1.000	0.342	0.312	-0.046	0.114	-0.099	-0.186	0.011	0.018	0.434	0.520	0.013	0.168
Num_Credit_Inquiries	-0.234	-0.258	-0.266	0.503	0.402	0.584	0.498	0.506	0.479	0.342	1.000	0.581	-0.074	0.184	-0.166	-0.340	0.007	0.007	0.000	0.000	0.000	0.000
Outstanding_Debt	-0.201	-0.258	-0.272	0.485	0.438	0.590	0.524	0.524	0.469	0.312	0.581	1.000	-0.077	0.169	-0.177	-0.356	0.012	0.032	0.587	0.569	0.049	0.376
Credit_Utilization_Ratio	0.026	0.147	0.148	-0.073	-0.055	-0.073	-0.095	-0.072	-0.064	-0.046	-0.074	-0.077	1.000	0.007	0.025	0.201	0.000	0.000	0.098	0.130	0.076	0.040
Total_EMI_per_month	-0.082	0.468	0.461	0.114	0.109	0.146	0.489	0.144	0.135	0.114	0.184	0.169	0.007	1.000	0.301	0.017	0.000	0.007	0.000	0.000	0.025	0.027
Amount_invested_monthly	0.051	0.622	0.637	-0.179	-0.125	-0.193	-0.152	-0.158	-0.173	-0.099	-0.166	-0.177	0.025	0.301	1.000	-0.037	0.011	0.000	0.149	0.192	0.131	0.113
Monthly_Balance	0.124	0.574	0.597	-0.297	-0.232	-0.340	-0.436	-0.302	-0.296	-0.186	-0.340	-0.356	0.201	0.017	-0.037	1.000	0.011	0.006	0.285	0.349	0.243	0.171
Month	0.008	0.000	0.000	0.021	0.012	0.013	0.008	0.014	0.016	0.011	0.007	0.012	0.000	0.000	0.011	0.011	1.000	0.004	0.012	0.000	0.000	0.019
Occupation	0.017	0.000	0.028	0.000	0.006	0.011	0.013	0.026	0.007	0.018	0.007	0.032	0.000	0.007	0.000	0.006	0.004	1.000	0.017	0.030	0.000	0.028
Credit_Mix	0.005	0.022	0.292	0.022	0.000	0.006	0.003	0.574	0.025	0.434	0.000	0.587	0.098	0.000	0.149	0.285	0.012	0.017	1.000	0.815	0.085	0.452
Payment_of_Min_Amount	0.000	0.009	0.350	0.016	0.000	0.000	0.021	0.543	0.000	0.520	0.000	0.569	0.130	0.000	0.192	0.349	0.000	0.030	0.815	1.000	0.114	0.473
Payment_Behaviour	0.000	0.016	0.170	0.000	0.000	0.009	0.012	0.036	0.000	0.013	0.000	0.049	0.076	0.025	0.131	0.243	0.000	0.000	0.085	0.114	1.000	0.089
Credit_Score	0.000	0.011	0.193	0.010	0.000	0.020	0.008	0.339	0.014	0.168	0.000	0.376	0.040	0.027	0.113	0.171	0.019	0.028	0.452	0.473	0.089	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Customer_ID	Month	Age	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Type_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Credit_Mix	Outstanding_Debt	Credit_Utilization_Ratio	Credit_History_Age	Payment_of_Min_Amount	Total_EMI_per_month	Amount_invested_monthly	Payment_Behaviour	Monthly_Balance	Credit_Score
65330	CUS_0x65fa	March	NaN	Architect	123388.830	10405.402500	1	4	3	2.0	Student Loan, and Personal Loan	20	10.0	5.24	0.0	2.0	869.62	27.738656	32 Years and 10 Months	0.0	114.305651	365.741361	High_spent_Small_value_payments	820.493238	1
15457	CUS_0x8927	February	28.0	Media_Manager	29758.460	2687.871667	5	6	8	-100.0	Student Loan, Home Equity Loan, and Payday Loan	28	19.0	10.79	4.0	1.0	817.45	26.148529	26 Years and 9 Months	0.0	71.506030	323.812292	Low_spent_Small_value_payments	163.468844	1
51187	CUS_0xbe6f	April	40.0	Journalist	34945.160	3043.096667	7	6	21	5.0	Mortgage Loan, Auto Loan, Not Specified, Not Specified, and Debt Consolidation Loan	20	15.0	6.45	12.0	1.0	NaN	40.472994	10 Years and 10 Months	1.0	140.120970	95.527792	High_spent_Small_value_payments	328.660905	0
92784	CUS_0x3de6	January	53.0	Entrepreneur	14475.140	1092.261667	8	3	13	4.0	Home Equity Loan, Personal Loan, Debt Consolidation Loan, and Debt Consolidation Loan	23	11.0	-1.20	NaN	1.0	609.66	34.260230	20 Years and 7 Months	1.0	33.587273	NaN	Low_spent_Small_value_payments	244.367893	1
38283	CUS_0x64aa	April	20.0	Journalist	15961.545	1269.128750	5	2	11	2.0	Credit-Builder Loan, and Not Specified	4	3.0	9.88	0.0	2.0	26.42	28.938494	20 Years and 4 Months	0.0	21.248508	NaN	High_spent_Small_value_payments	335.393292	2
70344	CUS_0x34c9	January	34.0	Entrepreneur	7200.005	482.000417	6	9	17	8.0	Payday Loan, Auto Loan, Mortgage Loan, Home Equity Loan, Home Equity Loan, Credit-Builder Loan, Mortgage Loan, and Home Equity Loan	61	18.0	2.54	6.0	0.0	2870.92	29.032541	3 Years and 1 Months	1.0	42.786179	18.023471	High_spent_Small_value_payments	247.390392	1
36626	CUS_0x30c6	March	31.0	Musician	68469.600	5500.800000	7	6	33	NaN	Auto Loan, Student Loan, Mortgage Loan, Student Loan, and Home Equity Loan	62	19.0	5.16	7.0	NaN	1865.28	24.473337	NaN	1.0	230.392754	138.842009	High_spent_Small_value_payments	440.845237	0
53038	CUS_0xc570	July	37.0	Developer	35851.390	2762.615833	6	4	5	2.0	Student Loan, and Auto Loan	7	12.0	6.10	8.0	1.0	926.99	33.778828	18 Years and 2 Months	0.0	53.519095	156.786374	Low_spent_Large_value_payments	335.956114	1
80990	CUS_0x9237	July	43.0	Developer	132387.520	10844.293333	3	5	5	2.0	Payday Loan, and Credit-Builder Loan	2	10.0	8.95	2.0	2.0	361.08	40.157308	29 Years and 9 Months	0.0	145.650758	449.886734	High_spent_Small_value_payments	748.891841	2
19209	CUS_0x51e0	February	NaN	Lawyer	30355.350	2307.612500	6	3	12	4.0	Home Equity Loan, Auto Loan, Personal Loan, and Mortgage Loan	30	8.0	0.91	1.0	1.0	1328.41	33.623992	16 Years and 2 Months	0.0	64.480944	113.674564	Low_spent_Medium_value_payments	332.605742	1

	Customer_ID	Month	Age	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Type_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Credit_Mix	Outstanding_Debt	Credit_Utilization_Ratio	Credit_History_Age	Payment_of_Min_Amount	Total_EMI_per_month	Amount_invested_monthly	Payment_Behaviour	Monthly_Balance	Credit_Score
24652	CUS_0xa6e	May	24.0	Musician	82823.920	7098.993333	4	5	18	-100.0	Payday Loan, and Not Specified	29	NaN	10.59	7.0	1.0	171.45	36.139722	13 Years and 0 Months	1.0	118.064832	NaN	!@9#%8	634.332625	1
30064	CUS_0x1e52	January	23.0	Media_Manager	67059.180	5398.265000	8	6	18	4.0	Payday Loan, Debt Consolidation Loan, Debt Consolidation Loan, and Auto Loan	19	17.0	15.57	8.0	1.0	255.76	29.615296	5 Years and 8 Months	1.0	167.123999	160.057447	High_spent_Medium_value_payments	462.645053	1
31581	CUS_0x8da1	June	45.0	_______	15608.695	NaN	7	3	12	4.0	Auto Loan, Mortgage Loan, Debt Consolidation Loan, and Payday Loan	7	19.0	12.35	10.0	1.0	488.34	24.811995	19 Years and 10 Months	1.0	26.777829	147.661238	Low_spent_Small_value_payments	252.233392	1
50179	CUS_0x1100	April	21.0	Accountant	43062.540	3607.545000	6	10	23	2.0	Mortgage Loan, and Student Loan	55	20.0	19.05	9.0	1.0	2169.75	24.259299	14 Years and 11 Months	1.0	47.499819	121.229734	High_spent_Medium_value_payments	442.024947	0
51089	CUS_0x663e	February	38.0	Musician	18670.980	NaN	5	5	14	4.0	Debt Consolidation Loan, Debt Consolidation Loan, Payday Loan, and Payday Loan	25	17.0	15.92	7.0	1.0	1397.21	35.601870	10 Years and 5 Months	1.0	32.444454	199.960347	Low_spent_Small_value_payments	212.986699	1
90966	CUS_0x8843	July	37.0	Developer	11911.715	917.642917	5	6	11	6.0	Debt Consolidation Loan, Not Specified, Student Loan, Personal Loan, Not Specified, and Personal Loan	25	20.0	17.41	8.0	1.0	1147.49	32.091744	7 Years and 7 Months	1.0	33.122454	79.683939	Low_spent_Small_value_payments	268.957899	1
91740	CUS_0x94dd	May	19.0	Scientist	23107.740	1983.645000	4	4	10	1.0	Debt Consolidation Loan	7	20.0	12.45	7.0	1.0	859.23	35.294806	28 Years and 1 Months	1.0	17.603560	197.124096	Low_spent_Medium_value_payments	263.636845	1
98150	CUS_0x85cb	July	22.0	Writer	68475.240	NaN	7	8	32	5.0	Not Specified, Home Equity Loan, Mortgage Loan, Debt Consolidation Loan, and Student Loan	51	24.0	9.20	10.0	0.0	4116.64	28.370375	14 Years and 3 Months	1.0	236.008419	39.416793	High_spent_Large_value_payments	513.401788	1
46173	CUS_0x510f	June	50.0	Writer	39398.740	3002.228333	2	3	9	NaN	Student Loan, Mortgage Loan, and Personal Loan	11	2.0	6.38	6.0	2.0	62.37	34.237802	24 Years and 10 Months	0.0	82.984233	125.872776	High_spent_Medium_value_payments	341.365825	1
28095	CUS_0x3d8e	August	20.0	Writer	73026.920	6233.576667	2	3	6	3.0	Auto Loan, Debt Consolidation Loan, and Personal Loan	7	13.0	4.43	4.0	2.0	98.77	25.915186	21 Years and 8 Months	0.0	158.959467	423.806141	Low_spent_Medium_value_payments	320.592058	1

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length